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April 29, 2026European Journal of Education1 citationsOpen Access

Beyond CUDOS and DECAY : Mapping Research Norms With an Institutional Logics Wheel

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YCYuzhuo CaiBMBruce Macfarlane

Key Points

  • To explore the interaction of CUDOS and DECAY norms within institutional logics in academic research.
  • Developed a theoretical framework using an institutional logics wheel.
  • Conducted a structured theory-synthesis of relevant literature on research norms.
  • Analyzed hybrid logics and bridging mechanisms impacting research norms.
  • Identified key conflicts and compatibilities among different research norms.
  • Highlighted hybrid logics such as entrepreneurial and open science.
  • Pointed out how certain configurations can lead to metric-driven behaviors and research risks.

Abstract

ABSTRACT The normative landscape of academic research is increasingly fragmented. Classical CUDOS norms and counternorms coexist across profession, market, corporation, state and community logics, yet existing scholarship rarely explains how these norms are patterned, how they interact, or how tensions between them are mediated. This conceptual article develops an institutional logics wheel of research norms: a relational, spatial heuristic grounded in institutional logics and higher education governance scholarship. Using a structured theory‐synthesis of relevant literature, we map CUDOS and DECAY, an inverted model of classical norms, onto the wheel, derive propositions about compatibility, conflict, hybridisation and bridging, and identify hybrid logics (entrepreneurial, open science, responsible innovation, translational research) and bridging mechanisms (excellence, innovation, impact, sustainable development). The analysis shows how particular configurations can intensify metric‐driven behaviour and research‐integrity risks, while others create constructive alignments between scholarly rigour and societal relevance. We argue that the wheel offers a diagnostic and design tool for governing research norms and a basis for comparative empirical testing.

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Cite This Study

Cai et al. (2026) studied this question.

synapsesocial.com/papers/69f1547f879cb923c4944b2ehttps://doi.org/10.1111/ejed.70591
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